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Bioinformatics Machine Learning Internship Jobs in Cary, NC

Duke University

Bioinformatician II

Durham, NC · On-site

$94.16K - $150.73K/yr

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field (or MS ... Experience applying machine learning or statistical modeling to biological datasets * Experience ...

Duke University

Bioinformatician II

Durham, NC

$94.16K - $150.73K/yr

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field (or MS ... Experience applying machine learning or statistical modeling to biological datasets * Experience ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

... bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate will develop novel machine learning and ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate will develop novel machine learning and ...

Duke University

Associate in Research

Durham, NC

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

Duke University

Associate in Research

Durham, NC · On-site

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

Duke University

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

Develop and implement novel machine learning and data analysis methods for large-scale multi-omics ... Computational Biology, Bioinformatics, Computer Science * Bioengineering, Biostatistics, Statistics ...

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Bioinformatics Machine Learning Internship information

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$23.6K

$39.5K

$81.5K

How much do bioinformatics machine learning internship jobs pay per year?

As of May 28, 2026, the average yearly pay for bioinformatics machine learning internship in Cary, NC is $39,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Machine Learning Intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Cary, NC? For Bioinformatics Machine Learning Internship jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Cary, NC look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Cary, NC are:
What cities near Cary, NC are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Cary, NC with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Cary, NC as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 12% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $39,450 per year, or $19 per hour.
Bioinformatician II

Bioinformatician II

Duke University

Durham, NC • On-site

$94.16K - $150.73K/yr

Full-time

Medical, Dental, Retirement

Posted 24 days ago

Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

433rd of 528 rated colleges and universities

Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
Bioinformatician II - Cancer Genomics & Single-Cell Biology
The Oliver Lab at Duke University (www.theoliverlab.com) is seeking a highly motivated Bioinformatician II to join a multidisciplinary research team focused on understanding the mechanisms that drive tumor lineage plasticity, heterogeneity, and drug resistance in lung cancer. Building on recent discoveries (Finlay et al, Cancer Cell, 2024 and Ireland et al., Nature, 2025), our work integrates advanced computational and experimental approaches to define how tumors evolve under therapeutic pressure.
This position offers the opportunity to work at the interface of cancer biology, genomics, and data science, leveraging large-scale datasets from genetically engineered mouse models, organoid systems, and human tumor specimens. The successful candidate will play a central role in analyzing and integrating single-cell, spatial transcriptomic, and multi-omic datasets to uncover new biological insights and therapeutic vulnerabilities.
Minimum Requirements:
  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field (or MS with substantial relevant experience)
  • Strong programming skills (e.g., Python, R, or equivalent)
  • Experience analyzing high-dimensional genomic data, particularly RNA-seq or single-cell datasets
  • Demonstrated ability to work independently and flexibly manage multiple projects
  • Strong communication skills and ability to collaborate in a team-oriented environment

Preferred Qualifications:
  • Experience with single-cell and/or spatial transcriptomics analysis
  • Familiarity with multi-omics data integration
  • Experience applying machine learning or statistical modeling to biological datasets
  • Experience working in cancer biology or related biomedical fields
  • Experience with high-performance computing environments and reproducible workflows

Be Bold.
  • Lead and contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets from mouse and human cancer models
  • Develop and implement computational pipelines for large-scale genomic data analysis and integration
  • Apply statistical and machine learning approaches to identify cell states, lineage relationships, and mechanisms of therapy resistance
  • Collaborate closely with experimental biologists to design analyses, interpret results, and guide hypothesis generation
  • Contribute to manuscript preparation, grant applications, and presentation of findings at scientific meetings
  • Mentor trainees and contribute to a collaborative and interdisciplinary research environment

Choose Duke.
  • Work on cutting-edge questions in cancer biology with direct relevance to therapy resistance and precision medicine
  • Access to rich, multi-modal datasets from state-of-the-art experimental systems and human tumors
  • Collaborative, interdisciplinary environment integrating computational and experimental approaches
  • Strong track record of high-impact publications and career development for trainees

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $94,156.00 to USD $150,733.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goesbeyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender,gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.
Duke aspires to create a community built oncollaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

Year founded

1838

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